Jean-Christophe Chouinard is an SEO/SEM Expert in Quebec City giving technical SEO tutorials. Specialized in technical SEO. Jcchouinard.com is a blog about programmatic SEO for large organizations through the use of Python, R and machine learning.
This guide mainly suggests free resources, partly because not everyone has money to spare for learning Python. Text that is: "indented and in quotes, like this" is repeating what someone else has said about their resource. Different people learn in different ways, so it's worth having a loo...
2 years ago I launched my first Python course for the student that was in the same spot as I was… I made if for those of us that are struggling to learn Python.Struggling to make a damn matplotlib plot. Stuggling to do a regression. And stuck (because we’re not coders, we are ...
tensorlayer的RL实现更pythonichttps://github.com/tensorlayer/RLzoo如果你使用Python。numpy, scipy, skle...
requests Python HTTP for Humans. 30 numpy Fundamental package for array computing in Python 30 django A high-level Python web framework that encourages rapid development and clean, pragmatic design. 30 pandas Powerful data structures for data analysis, time series, and statistics 30 flask A simple...
Back To Basics, Part Uno: Linear Regression and Cost Function Data Science An illustrated guide on essential machine learning concepts Shreya Rao February 3, 2023 6 min read Must-Know in Statistics: The Bivariate Normal Projection Explained
Further, SQL remains the most popular technology amongst data scientists and analysts, even beating Python and R. With its relevance and staying power, SQL will undoubtedly remain a staple technology for many years to come. How to learn SQL for free There are thousands of ways to learn SQL...
介绍: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.NeuralTalk是一个Python的从图像生成自然语言描述的工具。它实现了Google (Vinyals等,卷积神经网络CNN + 长短期记忆LSTM) 和斯坦福 (Karpathy and Fei-Fei, CNN + 递归神经网络RNN...
Python all the way to knowledgeable practitioner in 7 steps, all while using freely available materials and resources along the way. The prime objective of this outline is to help you wade through the numerous free options that are available; there are many, to be sure, but which are the ...
With a new year upon us, I thought it would be a good time to revisit the concept and put together a new learning path for mastering machine learning with Python. With these 7 steps you can master basic machine learning with Python!